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Cooperative Control of Multi-Agent Systems with Uncertainties /

Bibliographic Details
Main Authors: Zhang, Hao (Author), Huang, Chao (Author), Wang, Zhuping (Author), Yan, Huaicheng (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam, Netherlands : Elsevier, [2024]
Subjects:
Multiagent systems > Control.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Cooperative Control of Multi-Agent Systems with Uncertainties
  • Copyright
  • Contents
  • List of figures
  • List of tables
  • Biography
  • Prof. Hao Zhang
  • Dr. Chao Huang
  • Prof. Zhuping Wang
  • Prof. Huaicheng Yan
  • Preface
  • 1 Introduction
  • 1.1 Cooperative control of multi-agent systems
  • 1.1.1 Unreliable communication
  • 1.1.2 Environmental disturbances
  • 1.1.3 Limited resources for communication and control
  • 1.1.4 Uncertain model dynamics
  • 1.2 Organization of the book
  • 2 Preliminaries
  • 2.1 Fundamentals on graph theory
  • 2.1.1 Graph
  • 2.1.2 Connectivity of graphs
  • 2.1.3 Graph-induced matrices and their properties
  • 2.1.4 Dynamic graph
  • 2.2 Linear systems and control
  • 2.2.1 Output regulation
  • 2.2.2 Small-gain theorem
  • 2.2.3 H∞ control of linear systems
  • 2.3 Nonlinear systems and control
  • 2.3.1 Existence and uniqueness of solution
  • 2.3.2 Stability of nonlinear systems
  • 2.3.2.1 Lyapunov stability for autonomous systems
  • 2.3.2.2 Lyapunov stability for nonautonomous systems
  • 2.3.2.3 Input-to-state stability
  • 2.3.3 Passivity
  • 2.3.4 Backstepping design
  • 2.4 Basics of reinforcement learning
  • 2.4.1 Markov decision process
  • 2.4.2 Classic algorithms
  • 2.4.2.1 Q-learning
  • 2.4.2.2 Policy gradient algorithms
  • Literature review
  • 3 Two-layer framework for multi-agent system cooperative control subject to unreliable communications
  • 3.1 Cooperative decision-making
  • 3.1.1 The mission of cooperative decision-making
  • 3.1.2 Influence of an unreliable communication environment
  • 3.1.3 Event-based communication
  • 3.1.4 Synchronous and asynchronous modes
  • 3.2 Decentralized control
  • 3.2.1 The mission of decentralized control
  • 3.2.2 Model uncertainty and nonlinearity
  • 3.2.3 Event-based control
  • 3.3 Condition for establishing separation principle
  • Literature review
  • 4 Distributed consensus protocols for cooperative decision-making
  • 4.1 Distributed static consensus protocol: convergence
  • 4.1.1 Convergence
  • 4.1.2 Robustness to bounded noise
  • 4.1.3 Asynchronism
  • 4.1.4 Simple event-triggered mechanism
  • 4.1.5 Simulation examples
  • 4.2 Distributed static consensus protocol: X-consensus
  • 4.2.1 X-consensus via first-order protocols
  • 4.2.1.1 Consensus on differentiable functions
  • 4.2.1.2 Maximum and minimum consensus
  • 4.2.2 X-consensus based on distributed convex optimization
  • 4.2.2.1 The concept of DCO and useful lemmas
  • 4.2.2.2 Main result
  • 4.2.2.3 Formulating WPM consensus into a DCO problem
  • 4.2.2.4 Convergence rate of some WPM consensus algorithms
  • 4.2.2.5 Formulating k-th smallest value consensus into a DCO problem
  • 4.2.2.6 Convergence rate of some k-th smallest value consensus algorithms
  • 4.2.3 Simulation examples
  • 4.3 Distributed dynamical consensus protocols: linear dynamics
  • 4.3.1 Convergence
  • 4.3.2 Delayed consensus
  • 4.3.3 Simple event-triggered mechanism
  • 4.3.4 Simulation examples.